Paper
20 December 2024 Design of driver fatigue warning system based on facial multi-feature fusion
Haonan Long, Run Yuan, Xueli Wang, Chunhui Xiong, Xianghui Tan
Author Affiliations +
Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 134213K (2024) https://doi.org/10.1117/12.3054488
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China
Abstract
This project develops a driver fatigue warning system based on facial multi-feature fusion. Through real-time monitoring and analysis of the driver's eye movement, mouth expression, head posture and other multi-dimensional facial features, advanced image processing technology and deep learning algorithms are used to fuse and process these data. The system can effectively identify the driver's fatigue state and issue a real-time warning during the driving process, to help the driver take timely measures to avoid traffic accidents caused by fatigue driving. The application of this system, it is expected to improve road traffic safety, reduce the potential risks caused by fatigue driving, and help build a safer driving environment.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Haonan Long, Run Yuan, Xueli Wang, Chunhui Xiong, and Xianghui Tan "Design of driver fatigue warning system based on facial multi-feature fusion", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 134213K (20 December 2024); https://doi.org/10.1117/12.3054488
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KEYWORDS
Image processing

Imaging systems

Design

Eye

Head

Cameras

Safety

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